Evaluation of IRS1D-LIS S-III image in Riparian Forest mappin g (Case study: Maroon Tourism Riparian Forest, Behbahan )

Ecotourism could be help to conservation of the environment. Riparian forest of Maroon as a virgin area has ecologically importance and ecotourism development. In order to investigation and comparing the capability of LISS -III data in tourismriparian forest mapping, a small window of panchromatic and multispectral images IRS1D -LISSIII satellite data was selected at the Maroon tourism riparian forests in the Khuzestan province. The quality of the data and the radiometric error, orthorectification of LISS-III imagery was implemented using 9 ground control points and with RMS error 0/39 for X axis and 0/49 for Y axis. Some suitable image processing operations were applied on the main bands such as principal componentanalysis and appropriate vegetation indexes (NDVI) provide the corporation digitalanalysis in the classification processes. Af ter selecting the training area were doneuse the classification Maximum likelihood algorithms. Classified was taken to sevenand three user classes. Accuracy assessment for thre e-class classification showedoverall accuracy of 98/80 and kappa coefficient of 0/84 that it was the best result. Based on the resultsLISS-III data have good ability for mapping and classification of Maroon riparian forest